About the job
At Bubble, our mission is clear: we strive to empower everyone to create software. We believe that every idea deserves a chance to become a reality, which is why we are dedicated to making software creation accessible to all. Our innovative AI visual development platform allows anyone—whether a first-time entrepreneur or part of a large enterprise team—to transform an idea from concept to a fully functional, scalable application across web, iOS, and Android. And the best part? You can do it all without writing or managing a single line of code.
As the only comprehensive full-stack, cross-device no-code platform in existence, Bubble serves over 5 million users in more than 100 countries, breaking the barriers to entrepreneurship and innovation worldwide.
Our Achievements:
Our product is not just functional; it’s thriving. Entire VC-backed companies have been successfully built using Bubble. After discovering product-market fit and eight years of bootstrapping, we secured a $100 million Series A investment and established ourselves as one of the fastest-growing companies in New York’s tech ecosystem.
With Bubble, you can build virtually anything—and our community exemplifies this. Beyond merely launching products, users are transforming their visions into real businesses. For instance, Mailead turned a $10,000 investment in a Bubble product into a $2 million valuation, while Faceless.video achieved over $1 million in annual recurring revenue in under a year, among numerous other success stories.
About Our Team:
We are expanding our AI Engineering Team to pioneer next-generation AI-powered development workflows. Our objective is to facilitate AI-assisted full-stack development, empowering users to describe their applications in natural language while AI generates, modifies, and enhances their apps seamlessly. As a Senior AI Software Engineer, you will play a key role in shaping and developing the future of AI-powered development at Bubble. Your responsibilities will include working on LLM-driven product features, designing agentic workflows, and developing private models trained on proprietary Bubble datasets. Collaboration with product, infrastructure, and research teams will be essential as we push the boundaries of AI-driven development.

